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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260417T190156Z
LOCATION:West Building\, Rooms 118-120
DTSTART;TZID=America/Los_Angeles:20250814T144000
DTEND;TZID=America/Los_Angeles:20250814T145000
UID:siggraph_SIGGRAPH 2025_sess135_papers_256@linklings.com
SUMMARY:C5D: Sequential Continuous Convex Collision Detection Using Cone C
 asting
DESCRIPTION:Xiaodi Yuan (University of California San Diego); Fanbo Xiang 
 (Hillbot Inc.); Yin Yang (University of Utah); and Hao Su (University of C
 alifornia San Diego, Hillbot Inc.)\n\nWe propose a fast, single-threaded c
 ontinuous collision detection (CCD) algorithm for convex shapes under affi
 ne motion. By combining conservative advancement with a cone-casting appro
 ach, it avoids primitive-level overhead and enables efficient integration 
 into intersection-free simulation methods such as ABD.\n\nInterest Area: R
 esearch & Education\n\nRecording: Livestreamed, Not Livestreamed, Recorded
 , Not Recorded\n\nRegistration Category: Full Conference, Virtual Access, 
 Thursday\n\nSession Chair: Minchen Li (Carnegie Mellon University, Genesis
  AI)\n\n
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